Home
Communities
Companies
- Companies
  
  Discover best places to work
- Compare Companies
  
  Compare & find best workplace
- Add Office Photos
  
  Bring your workplace to life
- Add Company Benefits
  
  Highlight your company's perks
Reviews
- Company reviews
  
  Read reviews for 6L+ companies
- Write a review
  
  Rate your former or current company
Salaries
- Browse salaries
  
  Discover salaries for 6L+ companies
- Salary calculator
  
  Calculate your take home salary
- Are you paid fairly?
  
  Check your market value
- Share your salary
  
  Help other jobseekers
- Gratuity calculator
  
  Check your gratuity amount
- HRA calculator
  
  Check how much of your HRA is tax-free
- Salary hike calculator
  
  Check your salary hike
Interviews
- Company interviews
  
  Read interviews for 40K+ companies
- Campus placements
  
  Interviews questions for 2K+ colleges
- Share interview questions
  
  Contribute your interview questions
Jobs
Awards

WINNERS AWAITED!
- ABECA 2025
  
  WINNERS AWAITED!
  
  AmbitionBox Employee Choice Awards - 4th Edition
- ABECA 2024
  
  AmbitionBox Employee Choice Awards - 3rd Edition
- AmbitionBox Best Places to Work 2022
  
  2nd Edition
- AmbitionBox Best Places to Work 2021
  
  1st Edition

Add office photos

Employer? Claim Account for FREE

Crayon Data

Compare

3.6

based on 32 Reviews

11 Crayon Data Jobs

AI Architect

Crayon Data

3.6

based on 32 Reviews

10-15 years

Chennai

1 vacancy

AI Architect

Crayon Data

posted 1mon ago

Job Role Insights

Flexible timing

Key skills for the job

Architecting Cloud Computing Artificial Intelligence Machine Learning Auditing Data Security

+ 3 more

Job Description

":"

AI Architect (Non-Cloud Large Language Models)

Chennai (Hybrid)

Seeking a visionary AI Architect to lead the strategic implementation of non-cloud Large Language Models (LLMs) across our organization. As a strategic leader, youll bridge the gap between business objectives and technical innovation, ensuring the successful and sustainable adoption of AI that drives tangible business value.

About The Role

This is a hybrid role with frequent travel (30-40%) to client locations, including Riyadh.

Youll be responsible for leading the entire lifecycle of non-cloud LLM deployments, from strategic planning and model selection to ongoing monitoring and optimization.

Key Responsibilities

Identify and prioritize high-impact AI use cases that align with organizational goals.

Develop a phased roadmap for LLM implementation, considering scalability and long-term sustainability.

Conduct cost-benefit analyses to demonstrate the return on investment (ROI) for non-cloud LLM deployments.

Select and fine-tune LLMs tailored to meet specific enterprise requirements.

Design robust inference pipelines that ensure high performance and seamless integration with existing on-premise systems.

Establish ethical AI frameworks to address bias mitigation and safe deployment practices.

Ensure compliance with global regulations (GDPR, CCPA) and industry standards.

Foster transparency and fairness in AI operations to build trust among stakeholders.

Bridge communication between business, engineering, and data science teams to ensure project success.

Organize training sessions and workshops to upskill team members on non-cloud LLMs.

Create feedback mechanisms for continuous improvement of AI solutions.

Automate pipelines for LLM training, deployment, and regular updates on on-premise infrastructure.

Monitor key performance indicators (KPIs) to evaluate model performance and optimize processes.

Manage on-premise infrastructure to meet the specific needs of non-cloud LLM deployments.

Proactively address data security challenges and mitigate risks associated with compliance breaches.

Develop robust audit trails and protocols for explain ability to ensure accountability and trustworthiness in AI solutions.

Implement security measures tailored for on-premise LLM deployments.
Qualifications

10-15 years of experience in artificial intelligence, machine learning, or a related field.

Proven experience with non-cloud LLM deployments and architectures.

Strong understanding of ethical AI principles and governance frameworks.

Excellent communication and collaboration skills to bridge communication gaps between various teams.

Leadership experience with a proven track record of driving successful AI projects.

Ability to travel frequently (30-40%) to client locations

","